DocumentCode
1507120
Title
HUT snow emission model and its applicability to snow water equivalent retrieval
Author
Pulliainen, Jouni T. ; Grandell, Jochen ; Hallikainen, Martti T.
Author_Institution
Lab. of Space Technol., Helsinki Univ. of Technol., Espoo, Finland
Volume
37
Issue
3
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
1378
Lastpage
1390
Abstract
The derivation, testing, and employment to parameter retrieval of the Helsinki University of Technology (HUT) snow microwave emission model is presented. The radiative transfer-based semi-empirical model describes the emission behavior of a homogeneous snowpack as a function of water equivalent (SWE), effective grain size, and density of snow. Additionally, the modeling approach takes into account the influence of soil surface, forest canopy, and atmosphere to spaceborne observed brightness temperature by using empirical and semi-empirical formulas. The comparison of model predictions with independent experimental data shows good correlations, especially in terms of spectral characteristics. This enables the development of a new inversion technique for the SWE retrieval from spaceborne data based on the developed model. The test results using special sensor microwave/imager (SSM/I) data from boreal forest zone showed SWE retrieval accuracies considerably higher than those obtained with conventional algorithms. A discussion and analysis on the feasibility of the new SWE retrieval technique for operational applications is also included
Keywords
hydrological techniques; radiometry; remote sensing; snow; terrain mapping; HUT snow emission model; Helsinki University of Technology; density; effective grain size; hydrology; measurement technique; microwave emission model; microwave radiometry; parameter retrieval; radiative transfer; remote sensing; semi-empirical model; snow cover; snow water equivalent retrieval; snowcover; snowpack; Atmosphere; Atmospheric modeling; Brightness temperature; Employment; Grain size; Information retrieval; Microwave technology; Snow; Soil; Testing;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.763302
Filename
763302
Link To Document